NDLI: Revisiting the tumorigenesis timeline with a data-driven generative model.

Content Provider	Europe PMC
Author	Lahouel, Kamel Younes, Laurent Danilova, Ludmila Giardiello, Francis M. Hruban, Ralph H. Groopman, John Kinzler, Kenneth W. Vogelstein, Bert Geman, Donald Tomasetti, Cristian
Copyright Year	2020
Page Count	8
ISSN	00278424
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume Number	117
PubMed Central reference number	PMC6969520
Issue Number	2
PubMed reference number	31882448
e-ISSN	10916490
DOI	10.1073/pnas.1914589117
Language	English
Publisher	National Academy of Sciences
Publisher Date	2019-12-27
Access Restriction	Open
Rights License	This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). Copyright © 2020 the Author(s). Published by PNAS.
Subject Keyword	cancer driver genes mutations tumorigenesis fitness
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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Revisiting the tumorigenesis timeline with a data-driven generative model.